Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "99"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 99 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 40 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 38 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 99, Node N07:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459855 digital_ok 0.00% 0.00% 0.00% 0.00% 4.58% 0.00% 0.769444 -0.696349 0.879792 -0.747173 -1.059659 3.633878 0.671317 -1.059372 0.6830 0.7144 0.4361 1.684331 1.490604
2459854 digital_ok 0.00% 0.00% 0.00% 0.00% 8.93% 0.00% 0.099793 -0.702026 1.344406 0.145172 -0.736700 2.763550 1.989202 -0.149688 0.6810 0.7332 0.4464 1.723220 1.406093
2459853 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.655525 -0.237821 2.030483 0.492830 0.992806 3.549435 2.135357 -1.010351 0.7122 0.6904 0.4283 1.799596 1.508870
2459852 digital_ok 0.00% 0.00% 0.00% 0.00% 8.65% 3.78% 1.843942 1.143475 2.295762 1.756620 0.282749 2.999474 1.224373 1.749672 0.8009 0.8265 0.2592 3.015084 3.185515
2459850 digital_ok 0.00% 0.00% 0.00% 0.00% 18.02% 0.00% 1.349560 -0.467276 1.623854 -0.429730 -0.349945 -0.282919 1.362344 -1.375934 0.7080 0.7480 0.3679 1.724381 1.412965
2459849 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.014102 -0.545650 2.855129 1.231765 -0.852487 8.808129 1.675312 -0.902038 0.7083 0.7334 0.3692 3.491358 3.149726
2459848 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.979570 0.060150 9.755684 1.094960 3.480754 0.124560 0.422474 -0.877284 0.6422 0.7326 0.4057 2.651414 2.934194
2459847 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.113582 0.152924 9.383731 0.338270 4.909722 5.884892 0.390582 -0.974775 0.6503 0.6742 0.4441 2.890457 3.182204
2459846 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.650740 0.825917 11.736725 0.552707 5.873634 2.634158 1.780851 -0.631871 0.8028 0.6702 0.4823 2.937043 3.712209
2459845 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459843 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.711831 0.668789 2.136244 -0.701023 72.137358 86.356554 0.075187 0.421140 0.7383 0.7404 0.3839 5.542685 3.625636
2459840 digital_ok 100.00% 100.00% 100.00% 0.00% - - 5.575041 3.687452 1.793130 2.459755 -0.531247 1.356306 -1.313021 -0.094042 0.0272 0.0297 0.0028 nan nan
2459839 digital_ok 100.00% - - - - - 1.632362 0.843771 15.923650 16.997341 1.988098 2.489838 7.780114 9.853175 nan nan nan nan nan
2459838 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.471702 -0.102274 2.266585 0.102963 3.128300 5.363602 -0.041125 -0.708103 0.7428 0.7110 0.4068 5.011076 4.655967
2459836 digital_ok - 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.6990 0.6220 0.4404 nan nan
2459835 digital_ok 100.00% 0.00% 0.00% 0.00% - - 4.980817 5.533252 11.256454 9.593314 20.433028 40.582860 -5.617977 -1.875132 0.7947 0.5232 0.5771 nan nan
2459833 digital_ok 100.00% 0.00% 0.00% 0.00% - - 21.555631 19.059396 32.535999 31.734024 319.809289 305.640723 34.461406 35.848674 0.8020 0.5068 0.5750 nan nan
2459832 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.044924 0.648783 1.988090 0.327126 0.043554 5.283445 2.557328 -0.705514 0.8102 0.5459 0.5643 3.504591 3.703902
2459831 digital_ok 100.00% 100.00% 44.89% 0.00% - - 1.929047 5.444400 19.271955 20.742308 3.393306 4.126370 -1.522947 -0.499139 0.2387 0.3370 0.0386 nan nan
2459830 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.242009 1.263789 3.220863 0.043476 4.910037 0.506986 2.481830 -0.838435 0.8111 0.5685 0.5371 5.949533 6.577980
2459829 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.545127 0.031435 2.814840 -0.785486 1.687026 2.404517 0.465971 -0.949577 0.7547 0.6766 0.4025 1.138686 1.023828
2459828 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 26.32% 1.133581 0.319296 2.288218 -0.742912 0.915043 0.138517 -1.414310 -0.545021 0.8095 0.5681 0.5329 1.834955 1.647339
2459827 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.251361 0.197573 4.192478 -0.100143 2.321927 1.751949 0.542454 -0.500910 0.7511 0.6740 0.4117 9.076694 9.005933
2459826 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.206355 1.047676 3.632061 0.617186 2.244269 0.685927 4.572136 -0.524750 0.7985 0.5580 0.5244 3.672452 2.896402
2459825 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.689812 0.445502 2.079656 0.073671 -0.164556 -0.769837 -0.093945 2.168476 0.8062 0.5917 0.5103 7.382153 8.666474
2459824 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.205613 -0.086647 2.661610 1.098049 -0.889575 0.101017 0.958622 -0.261167 0.7100 0.7375 0.3686 7.877744 8.038869
2459823 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.771717 0.788965 3.578719 1.142731 2.775243 0.167341 -1.152922 -0.737041 0.7581 0.6526 0.4628 228.941711 151.466232
2459822 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.866828 0.517642 3.451926 -0.255747 1.350173 -0.834869 -0.703420 0.597393 0.7988 0.5939 0.5151 2.046353 1.633659
2459821 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.986074 0.588995 3.392306 -0.114231 -0.145021 -0.867669 -1.372675 -0.544197 0.8016 0.6180 0.5089 1.837995 1.592048
2459820 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.180028 0.204874 3.512300 -0.490483 2.053119 3.160254 3.856183 -0.323962 0.7591 0.6816 0.4210 4.674077 4.707967
2459817 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.940897 0.218867 2.492118 -0.605995 2.789646 -1.533639 0.055159 -0.680856 0.8041 0.6528 0.4961 3.790424 4.797243
2459816 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.803030 0.922334 3.623422 0.675870 2.901548 -0.542058 -0.801276 -0.892731 0.8466 0.5961 0.5923 1.687889 1.472251
2459815 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.938268 0.577570 3.153737 0.629725 5.121202 -0.239017 1.745497 -0.181148 0.8085 0.6784 0.5013 4.207499 4.360713
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.563945 1.369841 2.338326 -0.477960 5.386496 2.105261 7.436566 0.043178 0.7808 0.7207 0.3952 7.862948 6.107018

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 99: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Temporal Variability 3.633878 -0.696349 0.769444 -0.747173 0.879792 3.633878 -1.059659 -1.059372 0.671317

Antenna 99: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Temporal Variability 2.763550 -0.702026 0.099793 0.145172 1.344406 2.763550 -0.736700 -0.149688 1.989202

Antenna 99: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Temporal Variability 3.549435 -0.237821 1.655525 0.492830 2.030483 3.549435 0.992806 -1.010351 2.135357

Antenna 99: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Temporal Variability 2.999474 1.843942 1.143475 2.295762 1.756620 0.282749 2.999474 1.224373 1.749672

Antenna 99: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 1.623854 1.349560 -0.467276 1.623854 -0.429730 -0.349945 -0.282919 1.362344 -1.375934

Antenna 99: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Temporal Variability 8.808129 2.014102 -0.545650 2.855129 1.231765 -0.852487 8.808129 1.675312 -0.902038

Antenna 99: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 9.755684 0.060150 3.979570 1.094960 9.755684 0.124560 3.480754 -0.877284 0.422474

Antenna 99: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 9.383731 0.152924 3.113582 0.338270 9.383731 5.884892 4.909722 -0.974775 0.390582

Antenna 99: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 11.736725 5.650740 0.825917 11.736725 0.552707 5.873634 2.634158 1.780851 -0.631871

Antenna 99: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 99: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 99: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Temporal Variability 86.356554 0.668789 3.711831 -0.701023 2.136244 86.356554 72.137358 0.421140 0.075187

Antenna 99: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 5.575041 5.575041 3.687452 1.793130 2.459755 -0.531247 1.356306 -1.313021 -0.094042

Antenna 99: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Power 16.997341 0.843771 1.632362 16.997341 15.923650 2.489838 1.988098 9.853175 7.780114

Antenna 99: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Temporal Variability 5.363602 -0.102274 2.471702 0.102963 2.266585 5.363602 3.128300 -0.708103 -0.041125

Antenna 99: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Temporal Variability 40.582860 5.533252 4.980817 9.593314 11.256454 40.582860 20.433028 -1.875132 -5.617977

Antenna 99: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Temporal Variability 319.809289 19.059396 21.555631 31.734024 32.535999 305.640723 319.809289 35.848674 34.461406

Antenna 99: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 11.044924 11.044924 0.648783 1.988090 0.327126 0.043554 5.283445 2.557328 -0.705514

Antenna 99: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Power 20.742308 1.929047 5.444400 19.271955 20.742308 3.393306 4.126370 -1.522947 -0.499139

Antenna 99: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 8.242009 8.242009 1.263789 3.220863 0.043476 4.910037 0.506986 2.481830 -0.838435

Antenna 99: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 2.814840 0.031435 2.545127 -0.785486 2.814840 2.404517 1.687026 -0.949577 0.465971

Antenna 99: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 2.288218 0.319296 1.133581 -0.742912 2.288218 0.138517 0.915043 -0.545021 -1.414310

Antenna 99: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 4.192478 2.251361 0.197573 4.192478 -0.100143 2.321927 1.751949 0.542454 -0.500910

Antenna 99: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 8.206355 1.047676 8.206355 0.617186 3.632061 0.685927 2.244269 -0.524750 4.572136

Antenna 99: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 7.689812 0.445502 7.689812 0.073671 2.079656 -0.769837 -0.164556 2.168476 -0.093945

Antenna 99: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 9.205613 9.205613 -0.086647 2.661610 1.098049 -0.889575 0.101017 0.958622 -0.261167

Antenna 99: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 3.578719 0.788965 1.771717 1.142731 3.578719 0.167341 2.775243 -0.737041 -1.152922

Antenna 99: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 3.451926 1.866828 0.517642 3.451926 -0.255747 1.350173 -0.834869 -0.703420 0.597393

Antenna 99: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 3.392306 0.588995 2.986074 -0.114231 3.392306 -0.867669 -0.145021 -0.544197 -1.372675

Antenna 99: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 10.180028 10.180028 0.204874 3.512300 -0.490483 2.053119 3.160254 3.856183 -0.323962

Antenna 99: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 5.940897 5.940897 0.218867 2.492118 -0.605995 2.789646 -1.533639 0.055159 -0.680856

Antenna 99: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Power 3.623422 0.922334 1.803030 0.675870 3.623422 -0.542058 2.901548 -0.892731 -0.801276

Antenna 99: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Temporal Variability 5.121202 0.577570 1.938268 0.629725 3.153737 -0.239017 5.121202 -0.181148 1.745497

Antenna 99: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 99: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
99 N07 digital_ok ee Shape 9.563945 1.369841 9.563945 -0.477960 2.338326 2.105261 5.386496 0.043178 7.436566
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